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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rasheed, S. Stashuk, D.W. Kamel, M.S. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Eng., American Univ. of Iraq, Sulaimani, Iraq (Rasheed, S.) || Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada (Stashuk, D.W.) || Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada (Kamel, M.S.) |
| Abstract | A classifier fusion interactive software package has been constructed for implementing the classification task in the electromyographic (EMG) signal decomposition process using the MATLAB high-level programming language and its interactive environment. The package employs classifier fusion schemes of multiple classifier combination for the purpose of fusing the decisions of a set of heterogeneous base classifiers to make a final decision that achieves improved classification performance. The base classifiers used are ensembles of error-independent certainty, fuzzy k-NN, and template matched filter classifiers. The interactive package consists of several graphical user interfaces (GUIs) to extract individual motor unit potential (MUP) waveforms from raw EMG signals; extract relevant features; classify MUPs into motor unit potential trains (MUPTs) using certainty-based, assertion-based, and similarity-based classifiers; and combine classifier decisions. The proposed software package is useful for enhancing the EMG signal analysis quality and providing a systematic approach to the EMG signal decomposition process. It worked as a very helpful environment for testing and evaluating algorithms developed for EMG signal decomposition research. |
| Starting Page | 806 |
| Ending Page | 811 |
| File Size | 1503552 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479958276 |
| ISSN | 08407789 |
| e-ISBN | 9781479958290 |
| DOI | 10.1109/CCECE.2015.7129378 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-03 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electromyography Signal resolution Feature extraction Computers Software packages Accuracy Pattern recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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